This lecture will be covering Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA), and K-Nearest Neighbors (KNN). Please finish reading chapter 4 (4.4 and 4.5) in “An Introduction to Statistical Learning”. If you haven’t already please make brush up on section 3.5 where KNN is covered for regression.
The reading labs for chapter 4 can be found here